ArticleHeliyon2024
Engagement and loyalty in mobile applications for restaurant home deliveries.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed, 4 citations in OpenAlex.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study examines user engagement and loyalty in mobile applications for restaurant home deliveries during the COVID-19 pandemic. It explores the concepts of loyalty, engagement, and interactivity, with convenience and safety as drivers for continued use. Using Partial Least Squares Structural Equations Modelling (PLS-SEM), data from 349 users of restaurant ordering apps in Colombia was analysed. Results indicate that engagement, convenience, and safety positively influence loyalty. Interactivity indirectly affects loyalty through engagement. This research sheds light on the factors impacting engagement and loyalty, specifically during the pandemic. It addresses underexplored marketing relationships and guides companies operating such apps to understand key drivers of user loyalty.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.